Description Usage Arguments Value Author(s) See Also Examples
Provides the generic function itemFrequency
and S4 methods to get the
frequency/support for all single items in an objects based on
itemMatrix
. For example, it is used to get the single
item support from an object of class transactions
without mining.
1 2 3 4 | itemFrequency(x, ...)
## S4 method for signature 'itemMatrix'
itemFrequency(x, type, weighted = FALSE)
|
x |
an object. |
... |
further arguments are passed on. |
type |
a character string specifying
if |
weighted |
should support be weighted by transactions weights stored
as column |
itemFrequency
returns a named numeric vector. Each element is the
frequency/support of the corresponding item in object x
. The items
appear in the vector in the same order as in the binary matrix in x
.
Michael Hahsler
itemFrequencyPlot
,
itemMatrix-class
,
transactions-class
1 2 | data("Adult")
itemFrequency(Adult, type = "relative")
|
Loading required package: Matrix
Attaching package: 'arules'
The following objects are masked from 'package:base':
abbreviate, write
age=Young
1.971050e-01
age=Middle-aged
5.051185e-01
age=Senior
2.608616e-01
age=Old
3.691495e-02
workclass=Federal-gov
2.931903e-02
workclass=Local-gov
6.420703e-02
workclass=Never-worked
2.047418e-04
workclass=Private
6.941976e-01
workclass=Self-emp-inc
3.470374e-02
workclass=Self-emp-not-inc
7.907129e-02
workclass=State-gov
4.055935e-02
workclass=Without-pay
4.299578e-04
education=Preschool
1.699357e-03
education=1st-4th
5.057123e-03
education=5th-6th
1.042136e-02
education=7th-8th
1.955284e-02
education=9th
1.547848e-02
education=10th
2.843864e-02
education=11th
3.709922e-02
education=12th
1.345154e-02
education=HS-grad
3.231645e-01
education=Prof-school
1.707547e-02
education=Assoc-acdm
3.277917e-02
education=Assoc-voc
4.219729e-02
education=Some-college
2.227182e-01
education=Bachelors
1.643053e-01
education=Masters
5.439990e-02
education=Doctorate
1.216166e-02
marital-status=Divorced
1.358052e-01
marital-status=Married-AF-spouse
7.575447e-04
marital-status=Married-civ-spouse
4.581917e-01
marital-status=Married-spouse-absent
1.285779e-02
marital-status=Never-married
3.299824e-01
marital-status=Separated
3.132550e-02
marital-status=Widowed
3.107981e-02
occupation=Adm-clerical
1.148806e-01
occupation=Armed-Forces
3.071127e-04
occupation=Craft-repair
1.251382e-01
occupation=Exec-managerial
1.246059e-01
occupation=Farming-fishing
3.050653e-02
occupation=Handlers-cleaners
4.242251e-02
occupation=Machine-op-inspct
6.187298e-02
occupation=Other-service
1.007944e-01
occupation=Priv-house-serv
4.954752e-03
occupation=Prof-specialty
1.263667e-01
occupation=Protective-serv
2.012612e-02
occupation=Sales
1.126899e-01
occupation=Tech-support
2.960567e-02
occupation=Transport-moving
4.821670e-02
relationship=Husband
4.036690e-01
relationship=Not-in-family
2.576266e-01
relationship=Other-relative
3.083412e-02
relationship=Own-child
1.552148e-01
relationship=Unmarried
1.049302e-01
relationship=Wife
4.772532e-02
race=Amer-Indian-Eskimo
9.622866e-03
race=Asian-Pac-Islander
3.110028e-02
race=Black
9.592154e-02
race=Other
8.312518e-03
race=White
8.550428e-01
sex=Female
3.315180e-01
sex=Male
6.684820e-01
capital-gain=None
9.173867e-01
capital-gain=Low
4.801196e-02
capital-gain=High
3.460137e-02
capital-loss=None
9.532779e-01
capital-loss=Low
2.387290e-02
capital-loss=High
2.284919e-02
hours-per-week=Part-time
1.210638e-01
hours-per-week=Full-time
5.850907e-01
hours-per-week=Over-time
2.595307e-01
hours-per-week=Workaholic
3.431473e-02
native-country=Cambodia
5.732771e-04
native-country=Canada
3.726301e-03
native-country=China
2.497850e-03
native-country=Columbia
1.740305e-03
native-country=Cuba
2.825437e-03
native-country=Dominican-Republic
2.108841e-03
native-country=Ecuador
9.213382e-04
native-country=El-Salvador
3.173498e-03
native-country=England
2.600221e-03
native-country=France
7.780189e-04
native-country=Germany
4.217682e-03
native-country=Greece
1.003235e-03
native-country=Guatemala
1.801728e-03
native-country=Haiti
1.535564e-03
native-country=Holand-Netherlands
2.047418e-05
native-country=Honduras
4.094836e-04
native-country=Hong
6.142255e-04
native-country=Hungary
3.890095e-04
native-country=India
3.091601e-03
native-country=Iran
1.207977e-03
native-country=Ireland
7.575447e-04
native-country=Italy
2.149789e-03
native-country=Jamaica
2.170263e-03
native-country=Japan
1.883625e-03
native-country=Laos
4.709062e-04
native-country=Mexico
1.947095e-02
native-country=Nicaragua
1.003235e-03
native-country=Outlying-US(Guam-USVI-etc)
4.709062e-04
native-country=Peru
9.418124e-04
native-country=Philippines
6.039884e-03
native-country=Poland
1.781254e-03
native-country=Portugal
1.371770e-03
native-country=Puerto-Rico
3.767249e-03
native-country=Scotland
4.299578e-04
native-country=South
2.354531e-03
native-country=Taiwan
1.330822e-03
native-country=Thailand
6.142255e-04
native-country=Trinadad&Tobago
5.528029e-04
native-country=United-States
8.974243e-01
native-country=Vietnam
1.760780e-03
native-country=Yugoslavia
4.709062e-04
income=small
5.061218e-01
income=large
1.605381e-01
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